The following instructions are valid for an Ubuntu OS.
T4 GPU is taken as an example:
apt update
apt upgrade -y
apt install -y gcc make
wget https://us.download.nvidia.com/tesla/450.80.02/NVIDIA-Linux-x86_64-450.80.02.run
chmod +x NVIDIA-Linux-x86_64-450.80.02.runNow you are ready to proceed with the interactive installation:
./NVIDIA-Linux-x86_64-450.80.02.runsudo apt-get install \
apt-transport-https \
ca-certificates \
curl \
gnupg-agent \
software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository \
"deb [arch=amd64] https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) \
stable"
apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.ioInclude also docker-compose:
sudo curl -L "https://github.com/docker/compose/releases/download/1.27.4/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose
sudo ln -s /usr/local/bin/docker-compose /usr/bin/docker-composedistribution=$(. /etc/os-release;echo $ID$VERSION_ID) && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
apt-get update
sudo apt-get install -y nvidia-docker2
systemctl restart dockerCheck that all your GPUs are visible with:
docker run --rm --gpus all nvidia/cuda nvidia-smiDownload this repo:
git clone https://github.com/dodas-ts/MLinD-INFN
cd MLinD-INFNCompile the docker-compose.yaml file with your preferences:
version: '3.7'
services:
jupyterhub:
build: .
command:
- /opt/conda/bin/python
- /opt/conda/bin/jupyterhub
- --debug
volumes:
- /var/run/docker.sock:/var/run/docker.sock
ports:
- 8888:8888
environment:
- OAUTH_ENDPOINT=https://iam.cloud.infn.it
- OAUTH_CALLBACK_URL=http://<HERE pub ip of the server>:8888/hub/oauth_callback
- OAUTH_GROUPS=group1 group2
- WITH_GPU=true
networks:
default:
name: jupyterhubBring up your hub server with:
docker-compose up -dYou should be able to login at http://<yourIP>:8888/hub
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent